{"title":"美国路易斯安那州密西西比河冲积含水层(MRAA)地下水保护的潜在经济影响","authors":"D. Bhatta, K. Paudel, Bin Li","doi":"10.1111/nrm.12330","DOIUrl":null,"url":null,"abstract":"Overextraction of groundwater reduces groundwater height, increases the energy cost, and may threaten an aquifer's economic life. Water‐intensive crops, corn, and soybean, dominate the agricultural land in the Mississippi River Alluvial Aquifer (MRAA) region of the United States, thus stressing this confined aquifer. Groundwater conservation policy or the adoption of efficient irrigation technology could save both water and energy. This study aims to estimate the future returns from the irrigated land under the scenarios of 30%, 20%, 10%, 5%, and no groundwater conservation from 2020 to 2022. An accurate model to predict the crop choice decision is important to estimate the impact of groundwater policies. We develop a crop choice model where an individual farmer has a crop planting or land fallowing choice each year. We use the random forest, boosted regression trees, and support vector machine for the crop choice prediction. Boosted regression trees perform the best in our classification problem with 75.5% out of sample accuracy. The prediction model shows that the numbers of corn growers increase in the future. Our results show that the profit of 2572 farmers increased cumulatively by 0.14% when they conserve groundwater by 30% for 3 years. From a policy perspective, providing financial and technical assistant to farmers for making investments to conserve groundwater could save energy costs and sustain the economic life of the MRAA.","PeriodicalId":49778,"journal":{"name":"Natural Resource Modeling","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Potential economic impacts of groundwater conservation in the Mississippi River Alluvial Aquifer (MRAA), Louisiana, USA\",\"authors\":\"D. Bhatta, K. Paudel, Bin Li\",\"doi\":\"10.1111/nrm.12330\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Overextraction of groundwater reduces groundwater height, increases the energy cost, and may threaten an aquifer's economic life. Water‐intensive crops, corn, and soybean, dominate the agricultural land in the Mississippi River Alluvial Aquifer (MRAA) region of the United States, thus stressing this confined aquifer. Groundwater conservation policy or the adoption of efficient irrigation technology could save both water and energy. This study aims to estimate the future returns from the irrigated land under the scenarios of 30%, 20%, 10%, 5%, and no groundwater conservation from 2020 to 2022. An accurate model to predict the crop choice decision is important to estimate the impact of groundwater policies. We develop a crop choice model where an individual farmer has a crop planting or land fallowing choice each year. We use the random forest, boosted regression trees, and support vector machine for the crop choice prediction. Boosted regression trees perform the best in our classification problem with 75.5% out of sample accuracy. The prediction model shows that the numbers of corn growers increase in the future. Our results show that the profit of 2572 farmers increased cumulatively by 0.14% when they conserve groundwater by 30% for 3 years. From a policy perspective, providing financial and technical assistant to farmers for making investments to conserve groundwater could save energy costs and sustain the economic life of the MRAA.\",\"PeriodicalId\":49778,\"journal\":{\"name\":\"Natural Resource Modeling\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2021-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Natural Resource Modeling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1111/nrm.12330\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Resource Modeling","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1111/nrm.12330","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Potential economic impacts of groundwater conservation in the Mississippi River Alluvial Aquifer (MRAA), Louisiana, USA
Overextraction of groundwater reduces groundwater height, increases the energy cost, and may threaten an aquifer's economic life. Water‐intensive crops, corn, and soybean, dominate the agricultural land in the Mississippi River Alluvial Aquifer (MRAA) region of the United States, thus stressing this confined aquifer. Groundwater conservation policy or the adoption of efficient irrigation technology could save both water and energy. This study aims to estimate the future returns from the irrigated land under the scenarios of 30%, 20%, 10%, 5%, and no groundwater conservation from 2020 to 2022. An accurate model to predict the crop choice decision is important to estimate the impact of groundwater policies. We develop a crop choice model where an individual farmer has a crop planting or land fallowing choice each year. We use the random forest, boosted regression trees, and support vector machine for the crop choice prediction. Boosted regression trees perform the best in our classification problem with 75.5% out of sample accuracy. The prediction model shows that the numbers of corn growers increase in the future. Our results show that the profit of 2572 farmers increased cumulatively by 0.14% when they conserve groundwater by 30% for 3 years. From a policy perspective, providing financial and technical assistant to farmers for making investments to conserve groundwater could save energy costs and sustain the economic life of the MRAA.
期刊介绍:
Natural Resource Modeling is an international journal devoted to mathematical modeling of natural resource systems. It reflects the conceptual and methodological core that is common to model building throughout disciplines including such fields as forestry, fisheries, economics and ecology. This core draws upon the analytical and methodological apparatus of mathematics, statistics, and scientific computing.